Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Logan County, IL

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Logan County, IL
Series ID MHICIUBIL17107A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:10 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 29967
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34189
1994-01-01 .
1995-01-01 36562
1996-01-01 .
1997-01-01 40118
1998-01-01 41791
1999-01-01 41041
2000-01-01 42729
2001-01-01 41556
2002-01-01 41949
2003-01-01 41538
2004-01-01 43093
2005-01-01 46861
2006-01-01 48479
2007-01-01 48451
2008-01-01 56389
2009-01-01 49908
2010-01-01 52157
2011-01-01 50762
2012-01-01 51153
2013-01-01 54798
2014-01-01 58539
2015-01-01 62038
2016-01-01 56843
2017-01-01 61207
2018-01-01 57717
2019-01-01 58582
2020-01-01 69753
2021-01-01 62689
2022-01-01 57192

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